AAEON MIX-Q870A1
Geekbench AI Score
7317
Single Precision Score
2537
Half Precision Score
11977
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 02:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | AAEON MIX-Q870A1 |
| Motherboard | AAEON MIX-Q870A1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5816
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
862
160.4 IPS |
|
|
Image Classification (Q)
|
99% |
9470
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2621
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17643
286.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15567
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8017
9.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
48748
57.2 IPS |
|
|
Object Detection (SP)
|
100% |
5713
453.2 IPS |
|
|
Object Detection (HP)
|
100% |
1129
89.5 IPS |
|
|
Object Detection (Q)
|
86% |
11771
946.0 IPS |
|
|
Face Detection (SP)
|
100% |
17394
206.7 IPS |
|
|
Face Detection (HP)
|
100% |
2593
30.8 IPS |
|
|
Face Detection (Q)
|
97% |
13839
165.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16456
126.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3214
24.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
26295
209.8 IPS |
|
|
Style Transfer (SP)
|
100% |
34824
44.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19482
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35569
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5768
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3541
130.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7208
266.9 IPS |
|
|
Text Classification (SP)
|
100% |
1789
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1056
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1571
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3155
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1439
24.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4324
86.9 IPS |
